The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/65afe08d-ee21-4531-9218-5f595cef7f69

Wahi, Prateek; Konstantinou, Thaleia; Visscher, Henk; Tenpierik, Martin (2024): Data and Code for Identifying the Parameters Affecting Lower-Temperature Heating Readiness in Dutch Homes. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/65afe08d-ee21-4531-9218-5f595cef7f69.v1

Software

• Engineering Design
• Building
• Built Environment and Design

Energy Renovations, Energy Transition, Heating Decarbonisation, Parametric Simulations, Supervised Machine Learning

MIT

• Preparing Dutch Homes for Energy Transition: A decision support framework for renovating Dutch dwellings for lower temperature district heating

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Prateek Wahi , Thaleia Konstantinou , Henk Visscher , Martin Tenpierik

This repository contains the code developed and data generated during January 2023 – May 2024 at Delft University of Technology. This contents of the repository was used to support the research paper titled “Preparing for Lower-Temperature Heating: Evaluating Building-Level Parameters for Lower-Temperature Heating Readiness: A Sampling-based Approach to Addressing the Heterogeneity of Dutch Housing Stock”

• 2024-08-16 first online, published, posted

4TU.ResearchData

Jupyter notebook, Python, Grasshopper scripts, Rhino models, Excel

https://github.com/pwahi/LTH_readiness_Dutchhomes

TU Delft, Faculty of Architecture and the Built Environment, Department of Architectural Engineering and Technology